from matplotlib.pylab import *
fig = plt.figure(1)
fig.clf()
data = np.random.random((3,3))
xaxis = np.arange(0,3)
yaxis = np.arange(0,3)
ax1 = fig.add_subplot(211)
im = ax1.imshow(data, interpolation='none')
c = ax1.contour(xaxis, yaxis, data, colors='k')
#----------------
# draw ax1 first, so you can get proper position of ax1
fig.canvas.draw()
point_bl, point_tr = ax1.get_position().get_points() # ax1's bottom-left
and top-right
ax2 = fig.add_subplot(212)
space = 0.45 # space between ax2's bottom left and ax1's bottom left in
percentage
ax2.set_position([point_bl[0], point_bl[1]-space,
point_tr[0] - point_bl[0], point_tr[1] - point_bl[1]])
plt.show()
You can adjust that variable "space" as you need.
If someone has some more easy ways to do this, please let me know.
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